Image processing apparatus, image processing method and electronic equipment

ABSTRACT

Disclosed herein is an image processing apparatus including: a storage section configured to store a correction matrix correcting crosstalk generated by a light or electron leak from an adjacent pixel existing among a plurality of pixels for receiving light in an imaging device; and a processing section configured to carry out processing to apply the correction matrix stored in the storage section to an image signal generated by the imaging device for each of the pixels.

CROSS REFERENCES TO RELATED APPLICATIONS

This is a Continuation Application of U.S. patent application Ser. No.13/359,088, filed Jan. 26, 2012, which claims priority from JapanesePatent Application JP 2011-028631 filed with the Japanese Patent Officeon Feb. 14, 2011 the entire contents of which being incorporated hereinby reference.

BACKGROUND

The present technology relates to an image processing apparatus, animage processing method and electronic equipment. More particularly, thepresent technology relates to an image processing apparatus capable ofpreventing the image quality from deteriorating and relates to an imageprocessing method provided for the apparatus as well as electronicequipment employing the apparatus.

In the past, a solid-state imaging device represented by a CMOS(Complementary Metal Oxide Semiconductor) image sensor has always beenrequired to have a smaller pixel size and a larger pixel countrepresenting the number of pixels which can be provided in the sameimage area.

The configuration of an ordinary solid-state imaging device is explainedby referring to FIGS. 1A to 1C as follows.

FIG. 1A shows a typical color filter 11 for a solid-state imaging devicewhereas FIG. 1B shows a cross section of a front-irradiation CMOS imagesensor 21. FIG. 1C shows a cross section of a rear-irradiation CMOSimage sensor 31.

The color filter 11 shown in FIG. 1A includes red, blue and green colorfilters which are laid out to in the so-called Bayer array. In the Bayerarray, a number of pixels each having a cell positioned to face one ofthe color pixels are laid out in the horizontal and vertical directions.In the Bayer array, B (blue) and Gb (green) color filters are laid outalternately in the horizontal direction along a row so that each of thecolor filters faces the cell of one of pixels on the same row. By thesame token, in the Bayer array, R (red) and Gr (green) color filters arelaid out alternately in the horizontal direction along another row sothat each of the color filters faces the cell of one of pixels on thesame other row. That is to say, the pixels whose cells face the B (blue)and Gb (green) color filters are laid out in the horizontal direction inthe Bayer array every other row whereas the pixels whose cells face theR (red) and Gr (green) color filters are laid out in the horizontaldirection in the Bayer array also every other row. In addition, thepixels whose cells face the B (blue) and R (red) color filters are notlaid out on the same column in the vertical direction.

It is to be noted that, in the following description, a pixel whose cellfaces an R (red) color filter is referred to as an R pixel whereas apixel whose cell faces a Gb (green) color filter is referred to as a Gbpixel. By the same token, a pixel whose cell faces a B (blue) colorfilter is referred to as a B pixel whereas a pixel whose cell faces a Gr(green) color filter is referred to as a Gr pixel.

The front-irradiation CMOS image sensor 21 shown in FIG. 1B isconfigured to have a silicon substrate 22 including a photodiode. Inaddition, the front-irradiation CMOS image sensor 21 also includes an FD(Floating Diffusion) 23 and a reflection prevention film 24. Thereflection prevention film 24 is created on the silicon substrate 22 andthe FD 23. A wiring layer 26 having wires 25 is created on thereflection prevention film 24. A flattening film 27 is created on thewiring layer 26 whereas a color filter 28 is created on the flatteningfilm 27. Then, an on-chip lens 29 is provided on the color filter 28.

The rear-irradiation CMOS image sensor 31 shown in FIG. 1C is configuredto have a silicon substrate 32 including a photodiode. In addition, therear-irradiation CMOS image sensor 31 also includes a reflectionprevention film 33 created on the silicon substrate 32. A lightshielding film 34 for preventing crosstalk is created on the reflectionprevention film 33. A flattening film 35 is created on the lightshielding film 34 whereas a color filter 36 is created on the flatteningfilm 35. Then, an on-chip lens 37 is provided on the color filter 36. Itis to be noted that, in the case of the rear-irradiation CMOS imagesensor 31, the on-chip filter 37 for receiving incident light isprovided on the rear side and a wiring layer not shown in FIG. 1C isprovided on the front side.

In the rear-irradiation CMOS image sensor 31, the wiring layer is notprovided on the light-incidence side. Thus, incident light is not lostdue to the wiring layer so that the amount of incident light arriving atthe silicon substrate 32 can be increased to a quantity greater thanthat of the front-irradiation CMOS image sensor 21. As a result, bymaking use of the rear-irradiation CMOS image sensor 31, it is possibleto obtain high-sensitivity, low-noise and high-quality image. Suchrear-irradiation CMOS image sensors 31 are mass-produced and employed inelectronic equipment such as a cam coder and a digital still camera.

By the way, since the number of pixels employed in a solid-state imagingdevice is increased, the absolute quantity of the energy of lightincident to a pixel undesirably decreases and crosstalk inevitablyoccurs. In this case, the crosstalk is a phenomenon in which light leaksout to an adjacent pixel existing among pixels while the light ispropagating through the device employing the pixels. In addition, thenumber of electrons obtained as a result of opto-electrical conversiontaking place in the neighborhood of a pixel boundary rises, unavoidablyincreasing crosstalk as well. In this case, the crosstalk is aphenomenon in which electrons leak out to an adjacent pixel. As aresult, these kinds of crosstalk increase. The generation of these kindsof crosstalk is a cause deteriorating the spectroscopic characteristicof the rear-irradiation CMOS image sensor 31.

Next, the spectroscopic characteristics of the rear-irradiation CMOSimage sensor 31 are explained by referring to FIGS. 2A to 2C.

FIG. 2A shows spectroscopic characteristics found from signals output bya rectangular rear-irradiation CMOS image sensor 31 having a pixel sizeof 1.12 micrometers. In FIG. 2A, the horizontal axis represents thewavelength expressed in terms of nm whereas the vertical axis representsan output signal (arb. unit) which is the magnitude of a signal outputby the rectangular rear-irradiation CMOS image sensor 31.

As shown in FIG. 2A, the pixel size has a value of an order not muchdifferent from the wavelength so that the color separation becomes poor.

FIG. 2B shows spectroscopic characteristics for a configurationincluding an on-chip filter. In FIG. 2B, the vertical axis representsthe transmission (arb. unit) whereas the horizontal axis represents thewavelength lambda expressed in terms of micrometers.

The spectroscopic characteristics shown in FIG. 2B to serve as thespectroscopic characteristics for a configuration including an on-chipfilter are compared with the spectroscopic characteristics shown in FIG.2A as spectroscopic characteristics found from signals output by arectangular rear-irradiation CMOS image sensor 31 in order to clarifythe following. The deterioration of the color separation does not dependon the characteristic of the on-chip color filter, but depends on leaksof light or electrons (that is, signal electric charges) inside therear-irradiation CMOS image sensor 31.

FIG. 2C shows spectroscopic characteristics found from signals output bya rectangular rear-irradiation CMOS image sensor 31 having a pixel sizeof 1.12 micrometers for a case in which the incidence angle of lightincident to the light receiving surface of the rear-irradiation CMOSimage sensor 31 is set at ten degrees. On the other hand, FIG. 2Adescribed above shows spectroscopic characteristics found from signalsoutput by a rectangular rear-irradiation CMOS image sensor 31 having apixel size of 1.12 micrometers for a case in which the incidence angleof light incident to the light receiving surface of the rear-irradiationCMOS image sensor 31 is set at zero degree. By comparing thespectroscopic characteristics shown in FIG. 2A with those shown in FIG.2C, it becomes obvious that an increase of the incidence angle of lightincident to the light receiving surface of the rear-irradiation CMOSimage sensor 31 emphasizes crosstalk.

In addition, for example, applicants for a patent of the presenttechnology have also proposed an imaging apparatus capable of reducingeffects on the image quality by carrying out pixel color mixingcorrection processing in accordance with a correction parameter (referto, for example, Japanese Patent Laid-Open No. 2009-124282).

SUMMARY

The generation of crosstalk described above deteriorates thecolor-separation capability and worsens the color reproducibility. Inaddition, the generation of the crosstalk also undesirably lowers the SNratio (Signal-to-Noise ratio). Thus, the quality of an image generatedby the solid-state imaging device becomes poor.

It is desirable to address such problems to prevent the quality of theimage from deteriorating.

An image processing apparatus according to an embodiment of the presenttechnology includes:

a storage section configured to store a correction matrix for correctingcrosstalk generated by a light or electron leak from an adjacent pixelexisting among a plurality of pixels for receiving light in an imagingdevice; and

-   -   a processing section configured to carry out processing to apply        the correction matrix stored in the storage section to an image        signal generated by the imaging device for each of the pixels.

An image processing method according to another embodiment of thepresent technology includes:

reading out a correction matrix from a storage section for storing thecorrection matrix for correcting crosstalk generated by a light orelectron leak from an adjacent pixel existing among a plurality ofpixels for receiving light in an imaging device; and

-   -   carrying out processing to apply the correction matrix to an        image signal generated by the imaging device for each of the        pixels.

Electronic equipment according to a further embodiment of the presenttechnology includes:

an imaging device having a plurality of pixels for receiving light;

a storage section configured to store correction matrix for correctingcrosstalk generated by a light or electron leak from an adjacent pixelexisting among the pixels employed in the imaging device; and

a processing section configured to carry out processing to apply thecorrection matrix stored in the storage section to an image signalgenerated by the imaging device for each of the pixels.

In accordance with the embodiments of the present technology, thecorrection matrix for correcting crosstalk generated by a light orelectron leak from an adjacent pixel existing among a plurality ofpixels for receiving light in the imaging device is applied to an imagesignal generated by the imaging device for each of the pixels.

In accordance with the embodiments of the present technology, it ispossible to prevent the image quality from deteriorating.

BRIEF DESCRIPTION OF THE DRAWINGS

FIGS. 1A to 1C are diagrams showing configurations of ordinarysolid-state imaging devices;

FIGS. 2A to 2C are diagrams showing spectroscopic characteristics of arear-irradiation CMOS image sensor;

FIG. 3 is a block diagram showing a typical configuration of an imagingapparatus according to an embodiment of the present technology;

FIG. 4 is a diagram showing rates of crosstalk generated by surroundingpixels;

FIG. 5 is a diagram showing rates of crosstalk generated by surroundingpixels;

FIG. 6 is a diagram showing rates of crosstalk generated by surroundingpixels;

FIG. 7 is a diagram showing rates of crosstalk generated by surroundingpixels;

FIG. 8 is an explanatory diagram to be referred to in description ofsurrounding pixels;

FIG. 9 is a diagram showing typical correction matrixes;

FIG. 10 is an explanatory diagram to be referred to in description ofprocessing to correct crosstalk;

FIG. 11 is a diagram showing spectroscopic characteristics obtained as aresult of the processing to correct crosstalk;

FIG. 12 is a diagram showing typical SNR10 values obtained from aspectroscopic characteristic exhibited before and after application ofcorrection matrixes;

FIG. 13 is a block diagram showing a typical configuration of acrosstalk correction section;

FIG. 14 is an explanatory diagram to be referred to in description ofelements of a basic matrix for θ=five degrees and θ=ten degrees;

FIG. 15 shows an explanatory flowchart to be referred to in descriptionof processing carried out to correct crosstalk;

FIG. 16 is a diagram showing typical correction matrixes;

FIG. 17 is a diagram showing typical SNR10 values obtained before andafter application of correction matrixes;

FIG. 18 is a diagram showing correction matrixes for a light convergingstructure and correction matrixes for a photodiode;

FIG. 19 is a block diagram showing a typical configuration of acrosstalk correction section;

FIG. 20 is a diagram showing a model of movements made by electrons in arear-irradiation CMOS image sensor when incident light arrives at thelight receiving surface of the sensor in a direction perpendicular tothe surface;

FIG. 21 is a diagram showing a model of movements made by electrons in arear-irradiation CMOS image sensor when incident light arrives at thelight receiving surface of the sensor in an inclined direction withrespect to the surface;

FIG. 22 is a diagram showing correction matrixes required for anincidence angle of ten degrees and correction matrixes for an incidenceangle of 20 degrees; and

FIG. 23 is a diagram showing typical SNR10 values obtained before andafter application of correction matrixes.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT

Next, a concrete embodiment of the present technology is explained indetail by referring to the diagrams as follows.

FIG. 3 is a block diagram showing a typical configuration of an imagingapparatus 41 according to an embodiment of the present technology.

In the configuration shown in FIG. 3, the imaging apparatus 41 isconfigured to include a lens unit 42, a shutter apparatus 43, an imagingdevice 44, a driving circuit 45, an image processing apparatus 46 and amonitor 47.

The lens unit 42 has one lens or a plurality of lenses. The lens unit 42guides incident light radiated by an object of imaging to serve as imagelight to the imaging device 44, creating an image on a light receivingsurface provided on the imaging device 44 to serve as a sensor section.In addition, the lens unit 42 is also used for storing an aperture ratioobtained by dividing the lens focal distance by the lens effectiveaperture.

The shutter apparatus 43 is provided between the lens unit 42 and theimaging device 44. In accordance with control executed by the drivingcircuit 45, the shutter apparatus 43 adjusts the period during whichlight is radiated to the imaging device 44 and a period during which thelight radiated to the imaging device 44 is blocked.

The imaging device 44 is typically the rear-irradiation CMOS imagesensor 31 having the structure shown in FIG. 1C. The imaging device 44accumulates signal electric charge for a fixed period in accordance withan image which is created on the light receiving surface by way of thelens unit 42 and the shutter apparatus 43. Then, the signal electriccharge accumulated in the imaging device 44 is transferred to the imageprocessing apparatus 46 in accordance with a timing signal supplied bythe driving circuit 45 to the imaging device 44 to serve as a drivingsignal.

The driving circuit 45 outputs a driving signal to the imaging device 44for driving the imaging device 44 to transfer the signal electric chargeto the image processing apparatus 46. In addition, the driving circuit45 also outputs a driving signal to the shutter apparatus 43 for drivingthe shutter apparatus 43 to carry out a shutter operation.

The image processing apparatus 46 carries out various kinds of imageprocessing on an image signal (raw image data) output by the imagingdevice 44. Then, the image processing apparatus 46 provides the monitor47 with image data obtained as a result of the image processing. Theimage processing apparatus 46 also outputs the image data to a recordingmedium not shown in the figure.

The monitor 47 typically has a liquid-crystal display unit or an organicEL (Electro Luminescence) display unit. The display unit is used fordisplaying an image according to the image data received from the imageprocessing apparatus 46.

As shown in the figure, the image processing apparatus 46 is configuredto include a CDS (Correlated Double Sampling) circuit 51, a crosstalkcorrection section 52, an AGC (Automatic Gain Control) circuit 53, anA/D (Analog/Digital) conversion circuit 54, a white-balance adjustmentcircuit 55, an interpolation processing circuit 56, an edge emphasisprocessing circuit 57, a linear matrix processing circuit 58 and a gammacorrection circuit 59.

The CDS circuit 51 carries out processing to eliminate noises byperforming correlated double sampling on an image signal received fromthe imaging device 44. The CDS circuit 51 supplies the image signal,whose noises have been eliminated, to the crosstalk correction section52.

The crosstalk correction section 52 carries out correction processing tocorrect crosstalk for the signal received from the CDS circuit 51. Inaddition, while the crosstalk correction section 52 is carrying out thecorrection processing, the crosstalk correction section 52 maycommunicate with the lens unit 42 in order to obtain the presentaperture ratio of a lens employed in the lens unit 42 if necessary.

The AGC circuit 53 automatically amplifies the signal received from thecrosstalk correction section 52 in order to generate an amplified signaland outputs the amplified signal to the A/D conversion circuit 54. TheA/D conversion circuit 54 converts the analog signal received from theAGC circuit 53 into a digital signal.

The white-balance adjustment circuit 55 carries out processing to adjustthe white balance for an image constructed by the digital signalreceived from the A/D conversion circuit 54. The interpolationprocessing circuit 56 carries out interpolation processing in order toadjust the size of an image constructed by the signal received from thewhite-balance adjustment circuit 55. The interpolation processingcircuit 56 outputs a signal obtained as a result of the interpolationprocessing to the edge emphasis processing circuit 57.

The edge emphasis processing circuit 57 carries out processing toemphasize the edges of an image constructed by the signal received fromthe interpolation processing circuit 56. It is to be noted that theimage processing apparatus 46 also properly carries out image processingif necessary in addition to the processing to emphasize the edges of animage.

The linear matrix processing circuit 58 carries out correction based onmatrix processing on an image constructed by the signal received fromthe edge emphasis processing circuit 57. The gamma correction circuit 59carries out gamma correction on an image constructed by the signalreceived from the linear matrix processing circuit 58 in order tocorrect, among others, the colorfulness of an image to be displayed onthe monitor 47 and the brightness of the image. The gamma correctioncircuit 59 outputs Y and C signals obtained as a result of the gammacorrection to the monitor 47.

If the rear-irradiation CMOS image sensor 31 shown in FIG. 1C is used asthe imaging device 44, spectroscopic characteristics found from asimulation of the rear-irradiation CMOS image sensor 31 are equivalentto those shown in FIGS. 2A to 2C. That is to say, crosstalk from the Grpixel and crosstalk from the Gb pixel cause signals to leak into the Rand B pixels respectively so that, in each of the R and B pixels, theoutput in a range of 500 to 550 nm rises. Thus, it is obvious thatcrosstalk exhibits dependence on the wavelength.

Next, the dependence of crosstalk on the wavelength is explained byreferring to FIGS. 4 to 8. Each of FIGS. 4 to 7 is a diagram showing theamount of crosstalk from each of eight pixels provided at locationssurrounding a pixel determined in advance for a variety of wavelengths.The eight pixels provided at locations surrounding the predeterminedpixel are four pixels on respectively the upper, lower, right and leftsides of the predetermined pixels and four other pixels separated awayfrom the predetermined pixel in inclined directions. The eight pixelsprovided at locations surrounding the predetermined pixel are explainedmore as follows.

FIG. 8 is a diagram showing a Gb_cc pixel at the center and the eightpixels provided at locations surrounding the Gb_cc pixel as describedabove. Each of FIGS. 4 to 7 shows the rate of crosstalk generated byeach of the eight pixels provided at locations surrounding the Gb_ccpixel for each of a variety of wavelengths. As shown in FIG. 8, theeight pixels provided at locations surrounding the Gb_cc pixel are anadjacent Gr_ul pixel on the left upper side, an adjacent B_cl pixel onthe left side, an adjacent Gr_bl pixel on the left lower side, anadjacent R_uc pixel on the upper side, an adjacent R_bc pixel on thelower side, an adjacent Gr_ur pixel on the right upper side, an adjacentB_cr pixel on the right side and an adjacent Gr_br pixel on the rightlower side.

The horizontal axis in each of FIGS. 4 to 7 represents wavelengths. Tobe more specific, the horizontal axis in FIG. 4 represents wavelengthsin a range of 380 nm to 450 nm whereas the horizontal axis in FIG. 5represents wavelengths in a range of 460 nm to 530 nm. On the otherhand, the horizontal axis in FIG. 6 represents wavelengths in a range of540 nm to 610 nm whereas the horizontal axis in FIG. 7 representswavelengths in a range of 620 nm to 680 nm. The vertical axis in each ofFIGS. 4 to 7 represents the rate of crosstalk.

As is obvious from FIGS. 4 to 7, the rate of crosstalk from each of thefour pixels separated away from the Gb_cc pixel at the center ininclined directions is low. As shown in FIG. 8, the four pixelsseparated away from the Gb_cc pixel are the adjacent Gr_ul pixel on theleft upper side, the adjacent Gr_bl pixel on the left lower side, theadjacent Gr_ur pixel on the right upper side and the adjacent Gr_brpixel on the right lower side. On the other hand, as is also obviousfrom FIGS. 4 to 7, the rate of crosstalk from each of the four pixelslocated on the upper, lower, right and left sides of the Gb_cc pixel ishigh. The four pixels located on the upper, lower, right and left sidesof the Gb_cc pixel are the adjacent R_uc pixel on the upper side, theadjacent R be pixel on the lower side, the adjacent B_cl pixel on theleft side and the adjacent B_cr pixel on the right side. In addition,for small wavelengths such as wavelengths in a range of 400 nm to 470nm, the amount of crosstalk from the B pixels is large.

As described above, from the eight pixels provided at the locationssurrounding the Gb_cc pixel, the magnitudes of signals leaking into theGb_cc pixel can be found. In other words, from the eight pixels providedat the locations surrounding the Gb_cc pixel, the signals having theirmagnitudes found by computation leak into the Gb_cc pixel. Thus, byrestoring the leaking-signal magnitudes found by computation, thegenerated crosstalk can be virtually improved.

In addition, in the same way as the Gb pixel shown in FIGS. 4 to 7, forthe Gr, B and R pixels each seen as the center pixel, it is possible tofind the amount of crosstalk from the eight pixels provided at thelocations surrounding the center pixel. Then, from the crosstalk amountfound for each of the Gb, Gr, B and R pixels, the crosstalk correctionsection 52 is capable of carrying out processing to compute a correctionmatrix to be used in processing to correct the crosstalk.

First of all, from data like the one shown in FIG. 4, the magnitudes ofsignals leaking to the eight pixels provided at the surroundinglocations are extracted for each of the Gb, Gr, B and R pixels. Then,the sum of the magnitudes of signals leaking to the eight pixelsprovided at the surrounding locations is found. Subsequently, themagnitudes of the leaking signals and the sum of the magnitudes of theleaking signals are normalized by dividing them by the magnitude of asignal output by the pixel. In the following description, the normalizednumerical value is referred to as a mixed-color quantity ratio.

The correction matrix is expressed by expression (1) given below. In thecorrection matrix, notation a denotes the mixed-color quantity ratio ofa signal leaking to the adjacent pixel located on the left upper sidewhereas notation b denotes the mixed-color quantity ratio of a signalleaking to the adjacent pixel located on the upper side. Notation cdenotes the mixed-color quantity ratio of a signal leaking to theadjacent pixel located on the right upper side whereas notation ddenotes the mixed-color quantity ratio of a signal leaking to theadjacent pixel located on the left side. Notation e denotes themixed-color quantity ratio of a signal leaking to the adjacent pixellocated on the right side whereas notation f denotes the mixed-colorquantity ratio of a signal leaking to the adjacent pixel located on theleft lower side. Notation g denotes the mixed-color quantity ratio of asignal leaking to the adjacent pixel located on the lower side whereasnotation h denotes the mixed-color quantity ratio of a signal leaking tothe adjacent pixel located on the right lower side.

$\begin{matrix}\begin{bmatrix}{- a} & {- b} & {- c} \\{- d} & {1 + i} & {- e} \\{- f} & {- g} & {- h}\end{bmatrix} & (1)\end{matrix}$

In expression (1) given above, notation i denotes a numerical valuesatisfying the following equation: i=a+b+c+d+e+f+g+h.

It is to be noted that, if no mixed color is generated, the correctionmatrix is expressed by expression (2) given as follows.

$\begin{matrix}\begin{bmatrix}0 & 0 & 0 \\0 & 1 & 0 \\0 & 0 & 0\end{bmatrix} & (2)\end{matrix}$

Thus, with each of the B, Gb, Gr and R pixels taken as the center pixel,a correction matrix can be computed for each of the B, Gb, Gr and Rpixels.

FIG. 9 is a diagram showing typical correction matrixes computed fromthe crosstalk relations shown in FIGS. 3 to 7 for the B, Gb, Gr and Rpixels.

As shown in FIG. 9, the correction quantities of the correction matrixfor the B pixel are greater than the correction quantities of thecorrection matrixes for the other pixels. The fact that the correctionquantities of the correction matrix for the B pixel are greater than thecorrection quantities of the correction matrixes for the other pixelsindicates that the amount of crosstalk from the B pixel to the adjacentpixels is large.

Then, the correction matrixes for the B, Gb, Gr and R pixels are storedin the crosstalk correction section 52 which later makes use of thecorrection matrixes in carrying out processing to correct crosstalk.

For example, as shown in FIG. 10, the crosstalk correction section 52rebates the amount of crosstalk to the adjacent pixels in order tocorrect the crosstalk. That is to say, the crosstalk correction section52 carries out processing to apply the correction matrixes shown in FIG.9 to referenced areas taking the B, Gb, Gr and R pixels as centerpixels. The crosstalk correction section 52 carries out this processingtypically in the raster scan order. Then, for each of the B, Gb, Gr andR pixels, the crosstalk correction section 52 carries out processing(1.48B-10154A-0.05C . . . ) to rebate the magnitudes of signals leakingto the adjacent pixels in order to correct the crosstalk.

To put it concretely, the crosstalk correction section 52 carries outprocessing according to expression (3) given below in order to correctthe crosstalk.

$\begin{matrix}{{{Corrected\_ Signal}\mspace{14mu}\left( {y,x} \right)} = {{{Signal}\mspace{14mu}\left( {y,x} \right)*{{Mcc}\left( {2,2} \right)}} - {{Signal}\mspace{14mu}\left( {{y - 1},{x - 1}} \right)*{Mul}\mspace{14mu}\left( {3,3} \right)} - {{Signal}\mspace{14mu}\left( {y,{x - 1}} \right)*{Mcl}\mspace{14mu}\left( {2,3} \right)} - {{Signal}\mspace{14mu}\left( {{y + 1},{x - 1}} \right)*{Mbl}\mspace{14mu}\left( {1,3} \right)} - {{Signal}\mspace{14mu}\left( {{y - 1},x} \right)*{Muc}\mspace{14mu}\left( {3,2} \right)} - {{Signal}\mspace{14mu}\left( {{y + 1},x} \right)*{Mbc}\mspace{14mu}\left( {1,2} \right)} - {{Signal}\mspace{14mu}\left( {{y - 1},{x + 1}} \right)*{Mur}\mspace{14mu}\left( {3,1} \right)} - {{Signal}\mspace{14mu}\left( {y,{x + 1}} \right)*{Mcr}\mspace{14mu}\left( {2,1} \right)} - {{Signal}\mspace{14mu}\left( {{y + 1},{x + 1}} \right)*{Mbr}\mspace{14mu}\left( {1,1} \right)}}} & (3)\end{matrix}$

In expression (3) given above, notation Corrected_Signal (y, x) is animage signal obtained after correction to serve as an image signal atcoordinates (x, y) whereas notation Signal (y, x) is an image signal atthe coordinates (x, y).

Notation Mul denotes the correction matrix for the adjacent pixellocated on the left upper side whereas notation Mcl denotes thecorrection matrix for the adjacent pixel located on the left side.Notation Mbl denotes the correction matrix for the adjacent pixellocated on the left lower side whereas notation Muc denotes thecorrection matrix for the adjacent pixel located on the upper side.Notation Mcc denotes the correction matrix for the center pixel whereasnotation Mbc denotes the correction matrix for the adjacent pixellocated on the lower side. Notation Mur denotes the correction matrixfor the adjacent pixel located on the right upper side whereas notationMcr denotes the correction matrix for the adjacent pixel located on theright side. Notation Mbr denotes the correction matrix for the adjacentpixel located on the right lower side.

The value (i, j) enclosed in parentheses appended to each of thecorrection matrixes represents an element at the intersection of the ithrow and the jth column in the correction matrix.

In addition, the crosstalk correction section 52 holds the correctionmatrix for each of the B, Gb, Gr and R pixels and carries out processingto correct crosstalk by making use of the correction matrix for each ofthe positions of the pixels.

The crosstalk correction section 52 corrects the crosstalk as describedabove in order to improve the spectroscopic characteristics.

FIG. 11 is a diagram showing spectroscopic characteristics obtained as aresult of the processing carried out by the crosstalk correction section52 to correct crosstalk. In FIG. 11, the horizontal axis represents thewavelength expressed in terms of nm whereas the vertical horizontalrepresents the output signal (arb. unit).

As shown in FIG. 11, the spectroscopic characteristics are muchimproved. That is to say, in comparison with the spectroscopiccharacteristics shown in FIG. 2A as spectroscopic characteristicsexhibited prior to the correction of the crosstalk, the spectroscopiccharacteristics shown in FIG. 11 as spectroscopic characteristicsexhibited after the correction of the crosstalk are each expressed by acurve having an abrupt gradient.

Then, the spectroscopic characteristics exhibited prior to thecorrection of the crosstalk and the spectroscopic characteristicsexhibited after the correction of the crosstalk are used to compute andapply the coefficient of the white balance and a linear matrix.Subsequently, the illumination intensity providing an SN ratio(Signal-to-Noise ratio) of 10 is found from each of the spectroscopiccharacteristics exhibited prior to the correction of the crosstalk andthe spectroscopic characteristics exhibited after the correction of thecrosstalk. In the following description, the illumination intensityproviding an SNR of 10 is referred to as an SNR10 value.

It is assumed that, in the noises, 2.0 electrons are generated at randomalong with a dark current per pixel and the noises of the analog frontend.

FIG. 12 is a diagram showing a typical SNR10 value obtained from aspectroscopic characteristic exhibited before application of thecorrection matrix and a typical SNR10 value obtained from aspectroscopic characteristic exhibited after application of thecorrection matrix.

As shown in FIG. 12, the SNR10 value obtained from a spectroscopiccharacteristic exhibited before application of the correction matrix is284.2 luxes whereas the SNR10 value obtained from a spectroscopiccharacteristic exhibited after application of the correction matrix is154.6 luxes.

Next, the following description explains a typical imaging operationcarried out by an imaging device 44 including the rear-irradiation CMOSimage sensor 31 shown in FIG. 1C and a lens unit 42 having an apertureratio of 2.8.

If the aperture ratio of a lens included in the lens unit 42 increases,the number of inclined incident components rises so that the amount ofcrosstalk also increases as well. It is thus necessary to change thevalues of the correction matrixes used by the crosstalk correctionsection 52 in accordance with the aperture ratio. Accordingly, theimaging apparatus 41 is designed into a configuration allowing thecrosstalk correction section 52 to make use of correction matrixes,whose values can be determined in accordance with the aperture ratio ofa lens employed in the lens unit 42, in order to correct crosstalk.

FIG. 13 is a block diagram showing a typical configuration of thecrosstalk correction section 52.

As shown in FIG. 13, the crosstalk correction section 52 is configuredto include a matrix holding memory 61, a lens-data acquisition section62, a matrix generation section 63 and a correction processing section64.

The matrix holding memory 61 is used for storing a basic matrix, whichis a matrix for each incidence angle, for each of the B, Gb, Gr and Rpixels.

The lens-data acquisition section 62 communicates with the lens unit 42in order to acquire the present aperture ratio of a lens employed in thelens unit 42.

Then, the lens-data acquisition section 62 provides the matrixgeneration section 63 with three-dimensional angle information showingan incidence angle determined in accordance with the aperture ratio ofthe lens.

The matrix generation section 63 reads out two basic matrixes from thematrix holding memory 61 on the basis of the three-dimensional angleinformation, which has been received from the lens-data acquisitionsection 62, for each of the B, Gb, Gr and R pixels. The two basicmatrixes read out from the matrix holding memory 61 are basic matrixesassociated with two incidence angles closest to the incidence angleshown by the three-dimensional angle information received from thelens-data acquisition section 62. Then, for each of the B, Gb, Gr and Rpixels, the matrix generation section 63 synthesizes the two basicmatrixes read out from the matrix holding memory 61 in order to generatea correction matrix for each of the B, Gb, Gr and R pixels.

If the aperture ratio of the lens is 2.8 for example, incident lightarrives in an inclined direction forming an angle of ±10.2 degrees inconjunction with the θ direction of a spherical coordinate system likeone shown in FIG. 14. For this reason, typically, the matrix holdingmemory 61 is used for storing a basic matrix for every five degrees inthe θ direction of the spherical coordinate system and every 45 degreesin the φ direction of the spherical coordinate system. In this case, thematrix generation section 63 generates a correction matrix for each ofthe B, Gb, Gr and R pixels from 17 pieces of data which are elements ofbasic matrixes stored for θ=five degrees and θ=ten degrees, supplyingthe correction matrixes to the correction processing section 64. Forexample, the matrix generation section 63 generates a correction matrixby carrying out linear interpolation on the basic matrixes associatedwith two incidence angles closest to the incidence angle shown by thethree-dimensional angle information received from the lens-dataacquisition section 62.

The correction processing section 64 receives sequentially image signalsrepresenting raw data from the CDS circuit 51 shown in FIG. 3. Thecorrection processing section 64 carries out processing to apply thecorrection matrixes generated by the matrix generation section 63 to theimage signal. That is to say, the correction processing section 64carries out processing according to expression (3) given before in orderto correct crosstalk for each of the B, Gb, Gr and R pixels. Then, thecorrection processing section 64 provides the AGC circuit 53sequentially with the image signals whose crosstalk has been corrected.

FIG. 15 shows an explanatory flowchart to be referred to in descriptionof processing carried out by the crosstalk correction section 52 shownin FIG. 13 to correct crosstalk.

Typically, the processing carried out by the crosstalk correctionsection 52 to correct crosstalk is started when the power supply of theimaging apparatus 41 shown in FIG. 3 is turned on. As shown in FIG. 15,the flowchart begins with a step S11 at which the lens-data acquisitionsection 62 communicates with the lens unit 42 in order to acquire thepresent aperture ratio of a lens employed in the lens unit 42. Inaddition, when the shutter apparatus 43 changes the aperture ratiolater, the lens-data acquisition section 62 acquires the changedaperture ratio. Then, the lens-data acquisition section 62 provides thematrix generation section 63 with three-dimensional angle informationshowing an incidence angle determined in accordance with the apertureratio of the lens.

After the step S11 has been completed, the flow of the processing goeson a step S12 at which the matrix generation section 63 reads out twobasic matrixes from the matrix holding memory 61 on the basis of thethree-dimensional angle information received from the lens-dataacquisition section 62. Then, the flow of the processing goes on a stepS13.

At the step S13, the matrix generation section 63 synthesizes the twobasic matrixes at the step S12 in order to generate a correction matrixfor each of the B, Gb, Gr and R pixels. Subsequently, the matrixgeneration section 63 supplies the correction matrixes to the correctionprocessing section 64. Then, the flow of the processing goes on a stepS14.

At the step S14, the correction processing section 64 carries outprocessing to apply the correction matrixes generated by the matrixgeneration section 63 to the image signals (raw data) received from theCDS circuit 51 sequentially in order to correct crosstalk for each ofthe B, Gb, Gr and R pixels. Then, the correction processing section 64provides the AGC circuit 53 sequentially with the image signals whosecrosstalk has been corrected.

As described above, the crosstalk correction section 52 carries outprocessing to correct crosstalk for an image signal and outputs an imagesignal whose crosstalk has been corrected. It is thus possible toconstruct an image on the basis of an image signal whose crosstalk hasbeen corrected, prevent the quality of the image from deteriorating duecrosstalk included in the image and obtain an image having a higherquality.

In addition, the matrix generation section 63 employed in the crosstalkcorrection section 52 generates a correction matrix for each of the B,Gb, Gr and R pixels on the basis of the present aperture ratio of thelens. FIG. 16 is a diagram showing four typical correction matrixesgenerated by the matrix generation section 63 for the B, Gb, Gr and Rpixels. It is to be noted that, for a high aperture ratio of the lens,the amount of crosstalk is large. Thus, the absolute values of theelements composing each correction matrix are also large.

As described above, the matrix generation section 63 employed in thecrosstalk correction section 52 generates a correction matrix for eachof the B, Gb, Gr and R pixels on the basis of the present aperture ratioof the lens. It is thus possible to carry out proper correction ofcrosstalk in accordance with an incidence angle at which incident lightarrives at the light receiving surface of the imaging device 44.

FIG. 17 is a diagram showing a typical SNR10 value obtained from aspectroscopic characteristic exhibited before application of thecorrection matrix and a typical SNR10 value obtained from aspectroscopic characteristic exhibited after application of thecorrection matrix. By taking the three-dimensional angle according tothe aperture ratio of the lens into consideration, the typical SNR10values shown in FIG. 17 can be improved over the SNR10 values shown inFIG. 12. As shown in FIG. 17, the typical SNR10 value obtained from aspectroscopic characteristic exhibited after application of thecorrection matrix is 175.0 luxes.

In addition, the crosstalk correction section 52 carries out processingto correct generation of crosstalk so that it is possible to raise theyield of the process to manufacture the imaging device 44. Thus, themanufacturing cost of the imaging device 44 can be reduced.

In addition, a basic matrix is stored in the matrix holding memory 61for each of incidence angles separated away from each other by fivedegrees to serve as basic matrixes used in generating a correctionmatrix. Since a basic matrix is stored in the matrix holding memory 61not for each incidence angle, it is possible to prevent the requiredstorage capacity of the matrix holding memory 61 from increasingexcessively and carry out correction of crosstalk on the basis of anincidence angle according to the present aperture ratio of the lens.

By the way, with down-sizing of the pixels composing the imaging device44, crosstalk caused by a manufacturing parameter of the photodiodevaries. That is to say, crosstalk generated in the imaging device 44varies one by one. Thus, the crosstalk needs to be corrected by makinguse of a correction matrix proper for each imaging device 44. In thisway, the correction precision can be improved.

In addition, the crosstalk generated in the imaging device 44 iscrosstalk generated because light leaks to an adjacent pixel while thelight is propagating in the imaging device 44 and crosstalk generatedbecause electrons in the photodiode leak to an adjacent pixel. In thefollowing description, a correction matrix used for correcting thecrosstalk generated because light leaks to an adjacent pixel while thelight is propagating in the imaging device 44 is referred to as a lightconverging structure matrix. On the other hand, a correction matrix usedfor correcting the crosstalk generated because electrons in thephotodiode leak to an adjacent pixel is referred to as a photodiodematrix.

FIG. 18 is a diagram showing the light converging structure matrix andthe photodiode matrix, which serve as two separated different matrixescomposing a correction matrix, for an imaging operation carried out bymaking use of an imaging device 44 employing the rear-irradiation CMOSimage sensor 31 shown in FIG. 1C and making use of a lens unit 42 havingan aperture ratio of 2.8.

By correcting crosstalk on the basis of such two separated differentmatrixes composing a correction matrix, it is possible to obtain thesame effects as the processing explained before by referring to theflowchart shown in FIG. 15. Since the correction matrix is split intothe light converging structure matrix and the photodiode matrix asdescribed above, it is possible to change the values of the elements ofthe light converging structure matrix and the values of the elements ofthe photodiode matrix independently of each other by taking values setat a device shipping inspection time as references.

That is to say, the matrix holding memory 61 is used for storing thelight converging structure matrix found on the basis of PQC (ProcessQuality Control) data of a light converging structure process and thephotodiode matrix found on the basis of the PQC data of a photodiodecreation process as is the case with the crosstalk correction section 52having a configuration like one shown in FIG. 19.

If a manufacturing error seeming to increase the crosstalk generatedbecause electrons in the photodiode leak to an adjacent pixel forexample, the absolute values of elements composing the photodiode matrixare increased in accordance with the magnitude of the detectedmanufacturing error. If an error seeming to place the on-chip lens 29 inFIG. 1B at a high position is detected, it is assumed that light of alarge amount leaks to an adjacent pixel while the light is propagatingin the imaging device 44. In this case, the absolute values of elementscomposing the light converging structure matrix are increased inaccordance with the magnitude of the detected error.

As described above, it is possible to change the values of the elementsof the light converging structure matrix and the values of the elementsof the photodiode matrix independently of each other by taking valuesset at a device shipping inspection time as references. Thus, thecorrection precision of the processing to correct crosstalk can beimproved. In addition, the light converging structure matrix and thephotodiode matrix are found to serve as matrixes peculiar to eachimaging device 44 and stored in the matrix holding memory 61 employed inthe imaging apparatus 41.

By the way, in general, the imaging apparatus 41 employs a camera lenswith the incidence direction varying from pixel to pixel. The incidencedirection is a direction in which the incident light propagates to thelight receiving surface of the imaging device 44. In particular, in thecase of an imaging apparatus employed in a hand phone having a smallsize and a compact digital still camera having a small size, the lensneeds to be designed to have a short injection eye relief.

Thus, if the incidence angle varies from pixel to pixel as describedabove, the amount of crosstalk also varies from pixel to pixel as well.

FIG. 20 is a diagram showing a typical model of movements made byelectrons in the rear-irradiation CMOS image sensor 31 when incidentlight arrives at the light receiving surface of the sensor 31 in adirection perpendicular to the surface. On the other hand, FIG. 21 is adiagram showing a typical model of movements made by electrons in therear-irradiation CMOS image sensor 31 when incident light arrives at thelight receiving surface of the sensor 31 in an inclined direction withrespect to the surface. It is to be noted that, in FIGS. 20 and 21, thethickness of an arrow associated with an electron represents theeasiness of a movement indicated by the arrow as a movement of theelectron.

As shown in FIG. 20, if the incident light arrives at the lightreceiving surface of the rear-irradiation CMOS image sensor 31 in adirection perpendicular to the surface, in the case of a photodiodedesign providing a large amount of crosstalk caused by a leak of signalelectric charge on the surface of the rear-irradiation CMOS image sensor31, the amount of the crosstalk for small wavelengths increases. That isto say, the crosstalk exhibits a wavelength dependence characteristic.

As shown in FIG. 21, if the incident light arrives at the lightreceiving surface of the rear-irradiation CMOS image sensor 31 in aninclined direction with respect to the surface, on the other hand, theamount of the crosstalk for large wavelengths increases too. That is tosay, the amount of generated crosstalk changes in accordance with theincidence angle and the photodiode design. Thus, in order to correct thecrosstalk more effectively, it is necessary to properly change thecorrection matrixes and hold the changed correction matrixes in thematrix holding memory 61.

FIG. 22 is a diagram showing typical correction matrixes required for anincidence angle of ten degrees and typical correction matrixes for anincidence angle of 20 degrees. The incidence angle is defined as anangle between the incidence direction and the direction perpendicular tothe light receiving surface. For example, when the main light-beam angleis four out of ten of image light, the incidence angle is ten degrees.When the main light-beam angle is eight out of ten of image light, onthe other hand, the incidence angle is 20 degrees.

Each of the correction matrixes shown in FIG. 22 is a matrix obtainedfor a configuration in which the incidence surface is parallel to the xaxis oriented in the horizontal direction. In comparison with thecorrection matrixes shown in FIG. 9 as correction matrixes for thefield-angle center, the correction matrixes required for the incidenceangles of ten and 20 degrees representing incidence directions are eachcomposed of elements each having a different value to a large extent. Inparticular, at the incidence angles of ten and 20 degrees, the incidentlight is inclined in a direction increasing the crosstalk to theadjacent pixel located on the right side. Thus, as is obvious from FIG.22, on the right-side column of each of the correction matrixes shown inFIG. 22, elements each having a large absolute value are included. Asdescribed above, a correction matrix for a pixel is composed of elementseach having a value determined in accordance with the incidencedirection of the incident light as a value peculiar to the pixel. Forexample, the value of an element included in a correction matrix for apixel at the center of the light receiving surface is different from thevalue of an element included in a correction matrix for a pixel on anedge of the light receiving surface. Thus, crosstalk can be correctedproperly all over the entire surface of the imaging device 44.

FIG. 23 is a diagram showing typical SNR10 values obtained before andafter correction of crosstalk by application of the correction matrixesfor incidence angles of zero, ten and 20 degrees. As described above,the value of each element included in a correction matrix for anincidence angle of incident light is different from the value of eachelement included in a correction matrix for another incidence angle. InFIG. 23, the horizontal axis represents the incidence angle expressed interms of degrees whereas the vertical axis represents the SNR10 valueexpressed in terms of luxes.

As is obvious from FIG. 23, for all incidence directions, that is, forthe incidence angles of zero, ten and 20 degrees, the SNR10 values canbe made equal to or smaller than 175.0 luxes. That is to say, the SNRcan be improved for all field angles. In addition, it is also obviousthat, the larger the incidence angle representing the incidencedirection becomes, the more the SNR10 value is improved.

As described above, this embodiment implements a solid-state imagingdevice employing color filters laid out to form the most general Bayerarray. It is to be noted, however, that a typical solid-state imagingdevice employing no color filters is capable of correcting crosstalkmore easily without requiring use of different correction matrixesprovided for different pixel colors.

In addition, the crosstalk correction making use of correction matrixescan also be applied to a configuration employing supplementary-colorfilters and a configuration including color filters laid out to form anarray other than the Bayer array. A typical example of the array otherthan the Bayer array is a clear-bit array. In other words, the crosstalkcorrection making use of correction matrixes can be applied to a broadrange of configurations.

On top of that, the image processing apparatus 46 described above can beapplied to a variety of electronic equipment such as an imaging system,a hand phone provided with an imaging function and another electronicapparatus provided with an imaging function. Typical examples of theimaging system are a digital still camera and a digital video camera.

In addition, the embodiment described above is no more than a typicalconfiguration in which the rear-irradiation CMOS image sensor 31 isemployed to serve as the imaging device 44. However, the imaging device44 can also be typically the front-irradiation CMOS image sensor 21shown in FIG. 1B or a CCD solid-state imaging device.

The series of processes described previously can be carried out byhardware and/or execution of software. If the series of processesdescribed above is carried out by execution of software, programscomposing the software can be installed into a computer embedded indedicated hardware, a general-purpose personal computer or the like fromtypically a network or a removable recording medium. A general-purposepersonal computer is a personal computer, which can be made capable ofcarrying out a variety of functions by installing a variety of programsinto the personal computer. In the following description, the computerembedded in dedicated hardware and the personal computer are referred tosimply as a computer which is used to carry out the functions of theimage processing apparatus provided by the present technology.

In the computer, a CPU (Central Processing Unit) carries out the seriesof processes described above by execution of programs stored in a ROM(Read Only Memory) or programs loaded from a storage section into a RAM(Random Access Memory). Typical examples of the storage section are ahard disk and a nonvolatile memory.

The programs to be executed by the CPU is stored in the ROM and/or thestorage section in advance. As an alternative, the programs can also bedownloaded from a program provider into the computer by way of acommunication section including a network interface to be installed inthe storage section. As another alternative, the programs can also beinstalled in the storage section from a removable recording mediumdriven by a drive employed in the computer. Typical examples of theremovable recording medium are the magnetic disk such as a flexibledisk, an optical disk such as a CD-ROM (Compact Disk-Read Only Memory)or a DVD (Digital Versatile Disk), a magneto-optical disk as well as asemiconductor memory.

On top of that, the programs to be executed by the CPU can be programsto be executed to carry out processes along the time axis in the orderexplained in the specification of the present technology, programs to beexecuted to carry out processes concurrently or programs to be invokedwith required timings to carry out processes with the timings. Inaddition, the programs can be executed by one CPU or a plurality of CPUsin a distributed-processing environment.

It is to be noted that implementations of the present technology are byno means limited to this embodiment. That is to say, the embodiment canbe changed to a variety of any different modified versions as far as themodified versions fall within a range not deviating from spirit of thepresent technology.

The present application contains subject matter related to thatdisclosed in Japanese Priority Patent Application JP 2011-028631 filedin the Japan Patent Office on Feb. 14, 2011, the entire content of whichis hereby incorporated by reference.

What is claimed is:
 1. An image processing apparatus comprising: astorage section configured to store a correction matrix correctingcrosstalk generated by a light or electron leak from an adjacent pixelexisting among a plurality of pixels for receiving light in an imagingdevice; and a processing section configured to carry out processing toapply said correction matrix stored in said storage section to an imagesignal generated by said imaging device for each of said pixels, whereinthe correction matrix is one of a plurality of correction matrices, saidstorage section stores said correction matrices respectively found forindividual incidence directions of light incident to the light receivingsurface of said imaging device, and said processing section carries outsaid processing by making use of said correction matrix for saidincidence direction according to the position of a pixel on said imagingdevice.
 2. The image processing apparatus according to claim 1 whereinsaid correction matrix is configured to include: a first matrix forcrosstalk generated due to light which leaks to an adjacent pixel whilesaid light is propagating inside said imaging device; and a secondmatrix for crosstalk generated due to a leak of electrons in aphotodiode included in said imaging device.
 3. The image processingapparatus according to claim 2 wherein said imaging device is one of aplurality of imaging devices, said first matrix is one of a plurality offirst matrices, said second matrix is one of a plurality of secondmatrices, with said first and second matrices being respectively set foreach of said imaging devices.
 4. The image processing apparatusaccording to claim 1 wherein said correction matrix is found for each ofcolors of color filters employed in said imaging device.
 5. The imageprocessing apparatus according to claim 1 wherein said correction matrixis a matrix including three rows and three columns.
 6. An imageprocessing method comprising: reading out a correction matrix from astorage section for storing said correction matrix for correctingcrosstalk generated by a light or electron leak from an adjacent pixelexisting among a plurality of pixels for receiving light in an imagingdevice; and carrying out processing to apply said correction matrix toan image signal generated by said imaging device for each of saidpixels, wherein the correction matrix is one of a plurality ofcorrection matrices, said storage section stores said correctionmatrices respectively found for individual incidence directions of lightincident to the light receiving surface of said imaging device, and saidprocessing section carries out said processing by making use of saidcorrection matrix for said incidence direction according to the positionof a pixel on said imaging device.
 7. The method according to claim 6wherein said correction matrix is configured to include a first matrixfor crosstalk generated due to light which leaks to an adjacent pixelwhile said light is propagating inside said imaging device, and a secondmatrix for crosstalk generated due to a leak of electrons in aphotodiode included in said imaging device.
 8. The method according toclaim 7 wherein said imaging device is one of a plurality of imagingdevices, said first matrix is one of a plurality of first matrices, saidsecond matrix is one of a plurality of second matrices, with said firstand second matrices being respectively set for each of said imagingdevices.
 9. The method according to claim 6 wherein said correctionmatrix is found for each of colors of color filters employed in saidimaging device.
 10. The image processing apparatus according to claim 6wherein said correction matrix is a matrix including three rows andthree columns.
 11. An electronic equipment comprising: an imaging devicehaving a plurality of pixels for receiving light; a storage sectionconfigured to store a correction matrix for correcting crosstalkgenerated by a light or electron leak from an adjacent pixel existingamong said pixels employed in said imaging device; and a processingsection configured to carry out processing to apply said correctionmatrix stored in said storage section to an image signal generated bysaid imaging device for each of said pixels, wherein the correctionmatrix is one of a plurality of correction matrices, said storagesection stores said correction matrices respectively found forindividual incidence directions of light incident to the light receivingsurface of said imaging device, and said processing section carries outsaid processing by making use of said correction matrix for saidincidence direction according to the position of a pixel on said imagingdevice.
 12. The electronic equipment according to claim 11 wherein saidcorrection matrix is configured to include: a first matrix for crosstalkgenerated due to light which leaks to an adjacent pixel while said lightis propagating inside said imaging device; and a second matrix forcrosstalk generated due to a leak of electrons in a photodiode includedin said imaging device.
 13. The electronic equipment according to claim12 wherein said imaging device is one of a plurality of imaging devices,said first matrix is one of a plurality of first matrices, said secondmatrix is one of a plurality of second matrices, with said first andsecond matrices being respectively set for each of said imaging devices.14. The electronic equipment according to claim 11 wherein saidcorrection matrix is found for each of colors of color filters employedin said imaging device.
 15. The image processing apparatus according toclaim 11 wherein said correction matrix is a matrix including three rowsand three columns.